Case Study with GKN Aerospace
“The Alchemite™ Engine is easy to work with and proved to be a powerful tool for virtual experimentation, unleashing unexplored territory in the search for better metal alloys tailored to the application needed for the ever demanding technological challenges of the future”
– Marko Bosman, Chief Technologist at GKN Aerospace
Key outcomes
- Alchemite™ proposed the titanium-based alloy most likely to simultaneously maximise thermal conductivity and tensile strength.
- Virtual experiments delivered results in seconds rather than an experiment that would take days.
Summary
Heat exchangers are a key component for the aerospace industry, but new materials are needed to meet evolving requirements for their production and performance. Intellegens used its unique machine learning tool, Alchemite™, in collaboration with GKN Aerospace, to seek a titanium alloy composition with the highest thermal conductivity without diminishing the current mechanical properties to demonstrate promise at the ATI Boeing Accelerator. The material design process that would normally take two years was reduced to less than three months.
